Study On The Optimization Of Vehicular Traffic Organization In Front Of Of Changsha Huanghua International Airport Station

With the increase of passenger and cargo throughput of the airport,the volume of traffic and passengers to the airport has increased dramatically,and there is only one urban secondary road in front of the Changsha Huanghua Airport terminal for distribution.Therefore,it is urgent to optimize the road traffic organization in the pre-terminal area of Huanghua Airport,and it is imperative to build a land-side road distribution system that matches the throughput of the airport.In this thesis,based on the study of the traffic organization optimization scheme in the pre-station area and the demand forecast of airport traffic,we firstly investigate the current situation and planning of Changsha Huanghua Airport,and investigate the road network and traffic flow in the pre-station area by using the traditional traffic survey methods such as manual observation and video recording,and conclude that the main problem of traffic in the pre-station area is that the road in front of of the station cannot meet the increasing passenger collection and distribution demand.Secondly,the traffic demand prediction analysis was carried out based on the current survey data,airport positioning and relevant planning conditions according to the demand of traffic organization optimization.The traffic demand prediction uses the gray prediction model to predict the airport passenger and cargo flow,the logit model to classify the travel mode,and the traffic flow prediction of the road sections around the station area according to the traffic survey content to provide reference for the road design scheme of the station area.After that,we summarize the principles and key elements of traffic organization design in the pre-station area as well as the ideas of scheme selection by referring to the traffic organization of famous airports at home and abroad,and carry out scheme design and selection based on the summary of current traffic problems and traffic demand prediction results.The proposed design solutions are compared from the macroscopic function positioning and cost level,and the microscopic node operation level,and the optimal solution is selected.Finally,in order to verify the effectiveness of the optimal solution,various traffic simulation models are compared and the optimal solution is selected for simulation verification and evaluation using Vissim simulation software,and the evaluation results show that the optimal solution has better performance in queue length,average delay,average number of stops,average stopping time and other evaluation indexes.